Topic: Big Data
Which of the following scenario may not be a good fit for HDFS in Big data paradigm?
- A. HDFS is not suitable for scenarios requiring multiple/simultaneous writes to the same file
- B. HDFS is suitable for storing data related to applications requiring low latency data access
- C. HDFS is suitable for storing data related to applications requiring high latency data access
- D. None of the above
Answer: B. HDFS is suitable for storing data related to applications requiring low latency data access
Explanation: HDFS (Hadoop Distributed File System) is optimized for batch processing and high throughput of large datasets, which naturally incurs high latency. Therefore, using HDFS for applications that require low-latency data access (like traditional relational databases) is a fundamentally poor fit. Option (b) incorrectly claims it is suitable for low latency, highlighting the scenario that is not a good fit.